Implementing the Quicksort Algorithm with Python. In this article, we'll implement Quicksort in Python.

The quicksort algorithm is one of the most commons examples that junior developers can expect to find in a technical interview. Therefore I thought it might be useful to have a look at how to implement it with a popular language like Python.Quicksort uses a pivot element in a given array and partitions around it in order to sort the items. One can pick the pivot in many different ways: taking always the first element, always the last element, a random element etc.However, the most important thing in the quicksort is the partition method which should happen in linear time. The goal of partition is: given an array and a pivot, put x at its correct position in a sorted array and put all smaller elements (smaller than x) before x, and put all greater elements (greater than x) after x.If you are asked about big O notation of quicksort, keep this in mind:**Average-performance: O(n log n)Worst-case performance: O(n2)**A very popular way of picking the pivot in order to avoid the worst-case (where the pivot is the smallest or the biggest number in the array) is to pick the first and last two items of the array and take the average as the pivot.

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Practice your skills in Data Science with Python, by learning and then trying all these hands-on, interactive projects, that I have posted for you.